Add docker-tests coverage of metrics export

CHANGELOG.md

@@ -139,6 +139,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   ([#5036](https://github.com/open-telemetry/opentelemetry-python/pull/5036))
 - `opentelemetry-sdk`: Implement experimental Logger configurator
   ([#4980](https://github.com/open-telemetry/opentelemetry-python/pull/4980))
+- `opentelemetry-exporter-otlp-proto-grpc`, `opentelemetry-exporter-otlp-proto-http`: add docker-tests coverage of metrics export
+  ([#5030](https://github.com/open-telemetry/opentelemetry-python/pull/5030))
 
 ## Version 1.40.0/0.61b0 (2026-03-04)
 

tests/opentelemetry-docker-tests/tests/docker-compose.yml

@@ -1,5 +1,3 @@
-version: '3'
-
 services:
   otopencensus:
     image: rafaeljesus/opencensus-collector:latest
@@ -8,7 +6,7 @@ services:
         - "8888:8888"
         - "55678:55678"
   otcollector:
-    image: otel/opentelemetry-collector:0.31.0
+    image: otel/opentelemetry-collector:0.149.0
     ports:
         - "4317:4317"
-        - "4318:55681"
+        - "4318:4318"

tests/opentelemetry-docker-tests/tests/otlpexporter/__init__.py

@@ -1,10 +1,32 @@
 # Copyright The OpenTelemetry Authors
 # SPDX-License-Identifier: Apache-2.0
 
+import time
 from abc import ABC, abstractmethod
 
-from opentelemetry.context import attach, detach, set_value
+from opentelemetry.context import (
+    _SUPPRESS_INSTRUMENTATION_KEY,
+    attach,
+    detach,
+    set_value,
+)
+from opentelemetry.sdk.metrics._internal.export import (
+    MetricExportResult,
+    PeriodicExportingMetricReader,
+)
+from opentelemetry.sdk.metrics._internal.point import (
+    Metric,
+    NumberDataPoint,
+    Sum,
+)
+from opentelemetry.sdk.metrics.export import (
+    MetricsData,
+    ResourceMetrics,
+    ScopeMetrics,
+)
+from opentelemetry.sdk.resources import Resource
 from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.util.instrumentation import InstrumentationScope
 
 
 class ExportStatusSpanProcessor(SimpleSpanProcessor):
@@ -18,13 +40,37 @@ def on_end(self, span):
         detach(token)
 
 
+class ExportStatusMetricReader(PeriodicExportingMetricReader):
+    def __init__(self, exporter, **kwargs):
+        # Very short export interval for testing
+        super().__init__(exporter, export_interval_millis=1, **kwargs)
+        self.export_status = []
+
+    def _receive_metrics(self, metrics_data, timeout_millis=10_000, **kwargs):
+        token = attach(set_value(_SUPPRESS_INSTRUMENTATION_KEY, True))
+        try:
+            export_result = self._exporter.export(
+                metrics_data, timeout_millis=timeout_millis
+            )
+            self.export_status.append(export_result)
+        except Exception:
+            self.export_status.append(MetricExportResult.FAILURE)
+        finally:
+            detach(token)
+
+
 class BaseTestOTLPExporter(ABC):
     @abstractmethod
     def get_span_processor(self):
         pass
 
+    @abstractmethod
+    def get_metric_reader(self):
+        pass
+
     # pylint: disable=no-member
     def test_export(self):
+        """Test span export"""
         with self.tracer.start_as_current_span("foo"):
             with self.tracer.start_as_current_span("bar"):
                 with self.tracer.start_as_current_span("baz"):
@@ -35,3 +81,86 @@ def test_export(self):
         for export_status in self.span_processor.export_status:
             self.assertEqual(export_status.name, "SUCCESS")
             self.assertEqual(export_status.value, 0)
+
+    def test_metrics_export(self):
+        """Test metrics export from full metrics SDK pipeline"""
+        counter = self.meter.create_counter("test_counter")
+        histogram = self.meter.create_histogram("test_histogram")
+        up_down_counter = self.meter.create_up_down_counter(
+            "test_up_down_counter"
+        )
+
+        counter.add(1, {"key1": "value1"})
+        counter.add(2, {"key2": "value2"})
+        histogram.record(1.5, {"key3": "value3"})
+        histogram.record(2.5, {"key4": "value4"})
+        up_down_counter.add(3, {"key5": "value5"})
+        up_down_counter.add(-1, {"key6": "value6"})
+        self.metric_reader.force_flush(timeout_millis=5000)
+        time.sleep(0.1)
+
+        # Verify at least one export happened
+        self.assertTrue(len(self.metric_reader.export_status) >= 1)
+        # Verify all exports succeeded
+        for export_status in self.metric_reader.export_status:
+            self.assertEqual(export_status.name, "SUCCESS")
+            self.assertEqual(export_status.value, 0)
+
+    @abstractmethod
+    def test_metrics_export_batch_size_two(self):
+        """Test metrics max_export_batch_size=2 directly through exporter"""
+
+    def _create_test_metrics_data(self, num_data_points=6):
+        """Create test metrics data with specified number of data points."""
+        data_points = [
+            NumberDataPoint(
+                attributes={"key": f"value{i}"},
+                start_time_unix_nano=1000000 + i,
+                time_unix_nano=2000000 + i,
+                value=i + 1.0,
+            )
+            for i in range(num_data_points)
+        ]
+        metric = Metric(
+            name="otel_test_counter_foobar",
+            description="Test counter metric for batch verification",
+            unit="1",
+            data=Sum(
+                data_points=data_points,
+                aggregation_temporality=1,  # CUMULATIVE
+                is_monotonic=True,
+            ),
+        )
+        scope_metrics = ScopeMetrics(
+            scope=InstrumentationScope(name="test_scope"),
+            metrics=[metric],
+            schema_url=None,
+        )
+        resource_metrics = ResourceMetrics(
+            resource=Resource.create({"service.name": "test-service"}),
+            scope_metrics=[scope_metrics],
+            schema_url=None,
+        )
+
+        return MetricsData(resource_metrics=[resource_metrics]), data_points
+
+    def _verify_batch_export_result(
+        self, result, data_points, batch_counter, max_batch_size=2
+    ):
+        """Verify export result and batch count for export batching tests."""
+        self.assertEqual(
+            result.name, "SUCCESS", f"Expected SUCCESS, got: {result}"
+        )
+        self.assertEqual(
+            result.value, 0, f"Expected result code 0, got: {result.value}"
+        )
+
+        expected_batches = (
+            len(data_points) + max_batch_size - 1
+        ) // max_batch_size
+        self.assertEqual(
+            batch_counter.export_call_count,
+            expected_batches,
+            f"Expected {expected_batches} export calls with max_export_batch_size={max_batch_size} and {len(data_points)} data points, "
+            f"but got {batch_counter.export_call_count} calls",
+        )

tests/opentelemetry-docker-tests/tests/otlpexporter/test_otlp_grpc_exporter_functional.py

@@ -1,14 +1,38 @@
 # Copyright The OpenTelemetry Authors
 # SPDX-License-Identifier: Apache-2.0
 
-from opentelemetry import trace
+from opentelemetry import metrics, trace
+from opentelemetry.exporter.otlp.proto.grpc.metric_exporter import (
+    OTLPMetricExporter,
+)
 from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import (
     OTLPSpanExporter,
 )
+from opentelemetry.sdk.metrics import MeterProvider
 from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.test.globals_test import (
+    reset_metrics_globals,
+    reset_trace_globals,
+)
 from opentelemetry.test.test_base import TestBase
 
-from . import BaseTestOTLPExporter, ExportStatusSpanProcessor
+from . import (
+    BaseTestOTLPExporter,
+    ExportStatusMetricReader,
+    ExportStatusSpanProcessor,
+)
+
+
+class BatchCountingGRPCExporter(OTLPMetricExporter):
+    """gRPC exporter that counts actual batch export calls for testing."""
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.export_call_count = 0
+
+    def _export(self, *args, **kwargs):
+        self.export_call_count += 1
+        return super()._export(*args, **kwargs)
 
 
 class TestOTLPGRPCExporter(BaseTestOTLPExporter, TestBase):
@@ -18,11 +42,37 @@ def get_span_processor(self):
             OTLPSpanExporter(insecure=True, timeout=1)
         )
 
+    def get_metric_reader(self):
+        return ExportStatusMetricReader(
+            OTLPMetricExporter(
+                insecure=True, timeout=1, max_export_batch_size=2
+            )
+        )
+
     def setUp(self):
         super().setUp()
 
+        reset_trace_globals()
         trace.set_tracer_provider(TracerProvider())
         self.tracer = trace.get_tracer(__name__)
         self.span_processor = self.get_span_processor()
-
         trace.get_tracer_provider().add_span_processor(self.span_processor)
+
+        reset_metrics_globals()
+        self.metric_reader = self.get_metric_reader()
+        meter_provider = MeterProvider(metric_readers=[self.metric_reader])
+        metrics.set_meter_provider(meter_provider)
+        self.meter = metrics.get_meter(__name__)
+
+    def test_metrics_export_batch_size_two(self):
+        """Test metrics max_export_batch_size=2 directly through gRPC exporter"""
+        batch_counter = BatchCountingGRPCExporter(
+            endpoint="localhost:4317", insecure=True, max_export_batch_size=2
+        )
+        metrics_data, data_points = self._create_test_metrics_data(
+            num_data_points=6
+        )
+        result = batch_counter.export(metrics_data)
+        self._verify_batch_export_result(
+            result, data_points, batch_counter, max_batch_size=2
+        )

tests/opentelemetry-docker-tests/tests/otlpexporter/test_otlp_http_exporter_functional.py

@@ -1,26 +1,75 @@
 # Copyright The OpenTelemetry Authors
 # SPDX-License-Identifier: Apache-2.0
 
-from opentelemetry import trace
+from opentelemetry import metrics, trace
+from opentelemetry.exporter.otlp.proto.http.metric_exporter import (
+    OTLPMetricExporter,
+)
 from opentelemetry.exporter.otlp.proto.http.trace_exporter import (
     OTLPSpanExporter,
 )
+from opentelemetry.sdk.metrics import MeterProvider
 from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.test.globals_test import (
+    reset_metrics_globals,
+    reset_trace_globals,
+)
 from opentelemetry.test.test_base import TestBase
 
-from . import BaseTestOTLPExporter, ExportStatusSpanProcessor
+from . import (
+    BaseTestOTLPExporter,
+    ExportStatusMetricReader,
+    ExportStatusSpanProcessor,
+)
+
+
+class BatchCountingHTTPExporter(OTLPMetricExporter):
+    """HTTP exporter that counts actual batch export calls for testing."""
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.export_call_count = 0
+
+    def _export(self, *args, **kwargs):
+        self.export_call_count += 1
+        return super()._export(*args, **kwargs)
 
 
 class TestOTLPHTTPExporter(BaseTestOTLPExporter, TestBase):
     # pylint: disable=no-self-use
     def get_span_processor(self):
         return ExportStatusSpanProcessor(OTLPSpanExporter())
 
+    def get_metric_reader(self):
+        return ExportStatusMetricReader(
+            OTLPMetricExporter(max_export_batch_size=2)
+        )
+
     def setUp(self):
         super().setUp()
 
+        reset_trace_globals()
         trace.set_tracer_provider(TracerProvider())
         self.tracer = trace.get_tracer(__name__)
         self.span_processor = self.get_span_processor()
-
         trace.get_tracer_provider().add_span_processor(self.span_processor)
+
+        reset_metrics_globals()
+        self.metric_reader = self.get_metric_reader()
+        meter_provider = MeterProvider(metric_readers=[self.metric_reader])
+        metrics.set_meter_provider(meter_provider)
+        self.meter = metrics.get_meter(__name__)
+
+    def test_metrics_export_batch_size_two(self):
+        """Test metrics max_export_batch_size=2 directly through HTTP exporter"""
+        batch_counter = BatchCountingHTTPExporter(
+            endpoint="http://localhost:4318/v1/metrics",
+            max_export_batch_size=2,
+        )
+        metrics_data, data_points = self._create_test_metrics_data(
+            num_data_points=6
+        )
+        result = batch_counter.export(metrics_data)
+        self._verify_batch_export_result(
+            result, data_points, batch_counter, max_batch_size=2
+        )